June 2015 - Comp-neuro - lists.cnsorg.org

Job announcements--Mrsic Flogel lab

by Kelly Clancy

Hi all, the Mrsic-Flogel lab at the University of Basel, Switzerland is looking to fill 2 positions: a data scientist and a research associate. The official announcement is below. Thanks! Kelly *Data scientist position in the Mrsic-Flogel lab* The Mrsic-Flogel lab is seeking a highly motivated data scientist. The main focus of our research <http://www.biozentrum.unibas.ch/research/groups-platforms/overview/unit/mrs…> is to understand the visual cortex. The primary responsibilities for this position will be to design data analysis packages for processing large data sets. Our lab uses two-photon imaging of individual neurons, wide field imaging of the entire cortex, and electrophysiology to understand how neural activity relates to sensory perception and behavior. The successful candidate should have extensive experience working with large data sets, be highly organized and detail-oriented, be able to work both independently and within a team, and have a degree in physical or biological sciences (or several years of work experience). Experience with imaging data, and familiarity with sophisticated analysis techniques (e.g. dynamic causality modelling, machine learning, etc.) are ideal. Familiarity with MATLAB and/or LABVIEW a plus. Applications (in electronic form), including CV, a brief description of previous research experience/software projects, and contact information of two references should be addressed to Tom Mrsic-Flogel, Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland ( mrsic-flogel(a)googlegroups.com) Additional info Full-time position, starting immediately or upon agreement. The position is initially for 1-2 years. Salary and benefits according to University of Basel standards. The Biozentrum of the University of Basel is one of the leading institutes worldwide for molecular and biomedical basic research and teaching. It is home to more than 30 research groups with scientists from over 40 countries. Research at the Biozentrum focuses on the areas of Cell Growth & Development, Infection Biology, Neurobiology, Structural Biology & Biophysics and Computational & Systems Biology. With more than 550 employees, the Biozentrum is the largest department at the University of Basel’s Faculty of Science. Basel is an international city with people from 150 nations. Located on the border where three countries meet – Switzerland-Germany-France, it is Europe’s most important life sciences hub. Basel provides a high standard of living and a rich and varied cultural atmosphere. *Research Associate Position in the Mrsic-Flogel lab* The Mrsic-Flogel lab is seeking a highly motivated research associate. The main focus of our research <http://www.biozentrum.unibas.ch/research/groups-platforms/overview/unit/mrs…> is to understand the visual cortex. The primary responsibilities for this position will include animal behavioral training, histology, and/or animal surgeries. The ideal candidate should have some research experience in a neuroscience or biology lab. Prior experience with data analysis software and/or imaging software would be advantageous. The successful candidate should be highly organized, detail-oriented and computer literate, have good written and verbal communication skills, be able to work both independently and within a team and have a bachelor's degree or higher in a neuroscience, biology or a related subject. Applications (in electronic form), including CV, a brief description of previous research experience/software projects, and contact information of two references should be addressed to Tom Mrsic-Flogel, Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland ( mrsic-flogel(a)googlegroups.com) Additional info Full-time position, starting immediately or upon agreement. The position is initially for 1-2 years. Salary and benefits according to University of Basel standards. The Biozentrum of the University of Basel is one of the leading institutes worldwide for molecular and biomedical basic research and teaching. It is home to more than 30 research groups with scientists from over 40 countries. Research at the Biozentrum focuses on the areas of Cell Growth & Development, Infection Biology, Neurobiology, Structural Biology & Biophysics and Computational & Systems Biology. With more than 550 employees, the Biozentrum is the largest department at the University of Basel’s Faculty of Science. Basel is an international city with people from 150 nations. Located on the border where three countries meet – Switzerland-Germany-France, it is Europe’s most important life sciences hub. Basel provides a high standard of living and a rich and varied cultural atmosphere.

June 2, 2015

Tenth Madrid UPM Advanced Statistics and Data Mining Summer School - Early registration deadline

by asdm＠fi.upm.es

Dear colleagues, We would like to remind you that the early registration period for the tenth Madrid UPM Advanced Statistics and Data Mining Summer School finishes on June 7th. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. As in previous years, the school comprises 12 week-long courses, of 15 lecture hours each, which are given during two weeks (i.e., with six courses given each week). Students are free to choose the courses according to their interests, with the only restriction being that courses which are given in parallel are mutualy exclusive. INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at https://blog.inomics.com/top-10-summer-schools-in-math-stats/ Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, send this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 29th - July 3rd, 2015) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 6th - July 10th, 2015) * 1st session: 9:45-12:45 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python). Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

June 2, 2015

PhD position in Computational Neuroscience/Biology in Oslo, Norway

by Gaute Einevoll

PHD-POSITIONS IN COMPUTATIONAL NEUROSCIENCE/BIOLOGY IN OSLO, NORWAY Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD) collaboration: https://www.simula.no/education/suurph-collaboration PhD-candidates will expectedly spend about 3 years in Oslo (UiO or SIMULA) and about year at UCSD. Possible PhD-projects include: modeling of interaction between ion channels and psychoactive drugs, modeling of memory processing in hippocampus and entorhinal cortex, modeling of liquid flow in the brain, biophysical modeling of EEG and MEG signals, biomechanical modeling of the human brain. For more info on projects see: https://www.simula.no/suurph-projects Students interested in becoming a SUURPh fellow should consult the Applicant's page: https://www.simula.no/students-page. Here you will find all relevant information and instructions to submit your application. ********************************************** Professor Gaute T. Einevoll Department of Mathematical Sciences and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.umb.no, cinpla.org

June 1, 2015

postdoctoral position in Carmen Canavier's lab

by Canavier, Carmen C.

A two (2) year Postdoctoral Researcher position is available in the lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans. The focus of the lab is computational neuroscience. The main project is to model bursting and tonic firing in midbrain dopamine neurons, in close collaboration with experimentalists. Additional projects focus on oscillations and synchrony in cortical and basal ganglia networks. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Engineering, Mathematics, Neuroscience, Physics, Computer Science or a related field of study. Familiarity with nonlinear dynamics, writing code, running the simulation package NEURON, and modeling single neurons is preferred. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits(a)lsuhsc.edu; reference 00049561. This appointment is a two (2) year assigned only. Applications should be received before July 1 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

June 1, 2015

Reminder: Post-doc fellowship on computational neurosciences and stereoscopic vision

by cottereau＠cerco.ups-tlse.fr

Post-doc fellowship with Benoit Cottereau on computational neurosciences and stereoscopic vision Centre de Recherche Cerveau et Cognition, Toulouse, France Starting date: September December 2015 A postdoctoral research position is available to work with Benoit Cottereau (CNRS Researcher) in the ECO-3D team of the CerCo laboratory (Toulouse, http://www.cerco.ups-tlse.fr/?lang=en) The aim of the project is to develop new models of stereoscopic vision in primate that automatically become selective to the most frequently occurring 3D properties of their visual environment (e.g. 3D motion direction). These models will possibly be validated through experimental data (psychophysics and brain imaging in both human and non-human primates). The applicant should hold a solid background in computational neurosciences, signal processing as well as skills in programming. Knowledge on vision in primate would be highly appreciated. The city of Toulouse is an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border). The position is for 18 months with standard French salaries. Applications should be sent to benoit.cottereau(a)cerco.ups-tlse.fr including a CV and 2 names of references.

June 1, 2015